- Navid Ziaei, Reza Saadati Fard, Ali Yousefi, Behzad Nazari, Sydney S. Cash, Angelique C. Paulk:
Bayesian Time-Series Classifier for Decoding Simple Visual Stimuli from Intracranial Neural Activity. CoRR abs/2307.15672 (2023) - Vincent Lemaire, Fabrice Clérot, Marc Boullé:
An Efficient Shapley Value Computation for the Naive Bayes Classifier. CoRR abs/2307.16718 (2023) - Vincent Lemaire, Nathan Le Boudec, Françoise Fessant, Victor Guyomard:
Viewing the process of generating counterfactuals as a source of knowledge - Application to the Naive Bayes classifier. CoRR abs/2309.04284 (2023) - Jingwei Chen, Yong Feng, Yang Liu, Wenyuan Wu, Guanci Yang:
Non-interactive privacy-preserving naive Bayes classifier using homomorphic encryption. IACR Cryptol. ePrint Arch. 2023: 442 (2023) - (Withdrawn) A combination of TEXTCNN model and Bayesian classifier for microblog sentiment analysis. J. Comb. Optim. 45(4): 109 (2023)
- 2022
- Taeheung Kim, Jong-Seok Lee:
Exponential Loss Minimization for Learning Weighted Naive Bayes Classifiers. IEEE Access 10: 22724-22736 (2022) - Yi Ren, LiMin Wang, XiongFei Li, Meng Pang, JunYang Wei:
Stochastic optimization for bayesian network classifiers. Appl. Intell. 52(13): 15496-15516 (2022) - LiMin Wang, XinHao Zhang, Kuo Li, Shuai Zhang:
Semi-supervised learning for k-dependence Bayesian classifiers. Appl. Intell. 52(4): 3604-3622 (2022) - Shuangcheng Wang, Siwen Zhang, Tao Wu, Yongrui Duan, Liang Zhou:
Research on a dynamic full Bayesian classifier for time-series data with insufficient information. Appl. Intell. 52(1): 1059-1075 (2022) - Korab Rrmoku, Besnik Selimi, Lule Ahmedi:
Application of Trust in Recommender Systems - Utilizing Naive Bayes Classifier. Comput. 10(1): 6 (2022) - Shouta Sugahara, Itsuki Aomi, Maomi Ueno:
Bayesian Network Model Averaging Classifiers by Subbagging. Entropy 24(5): 743 (2022) - K. Kala, N. Padmasini, B. Suresh Chander Kapali, P. G. Kuppusamy:
A new framework for object detection using fastcnn- Naïve Bayes classifier for remote sensing image extraction. Earth Sci. Informatics 15(3): 1779-1787 (2022) - Jasleen Kaur Sethi, Mamta Mittal:
Efficient weighted naive bayes classifiers to predict air quality index. Earth Sci. Informatics 15(1): 541-552 (2022) - Chitrakant Banchhor, N. Srinivasu:
Holoentropy based Correlative Naive Bayes classifier and MapReduce model for classifying the big data. Evol. Intell. 15(2): 1037-1050 (2022) - Hao Zhang, Kai-Biao Lin, Wei Weng, Juan Wen, Chin-Ling Chen:
A Bayesian network correlation-based classifier chain algorithm for multilabel learning. Int. J. Comput. Sci. Eng. 25(4): 437-447 (2022) - Shiny Christobel, D. Vimala, J. Joshan Athanesious, S. Christopher Ezhil Singh, Sivaraj Murugan:
Effectiveness of Feature Extraction by PCA-Based Detection and Naive Bayes Classifier for Glaucoma Images. Int. J. Digit. Multim. Broadcast. 2022: 4802872:1-4802872:5 (2022) - Nasim Abdulwahab Matar, Wasef Matar, Tirad AlMalahmeh:
Predictive Model for Students Admission Uncertainty Using Naïve Bayes Classifier and Kernel Density Estimation (KDE). Int. J. Emerg. Technol. Learn. 17(8): 75-96 (2022) - Anderson Ara, Francisco Louzada:
Alpha Skew Gaussian Naïve Bayes Classifier. Int. J. Inf. Technol. Decis. Mak. 21(1): 441-462 (2022) - C. Chandana, G. Parthasarathy:
Efficient Machine Learning Regression Algorithm using Naïve Bayes Classifier for Crop Yield Prediction and Optimal Utilization of Fertilizer. Int. J. Perform. Eng. 18(1): 47 (2022) - Olga A. Tarasova, Anastasia V. Rudik, Nadezhda Yu. Biziukova, Dmitry Filimonov, Vladimir Poroikov:
Chemical named entity recognition in the texts of scientific publications using the naïve Bayes classifier approach. J. Cheminformatics 14(1): 55 (2022) - Anton Yudhana, Rusydi Umar, Sabarudin Saputra:
Fish Freshness Identification Using Machine Learning: Performance Comparison of k-NN and Naïve Bayes Classifier. J. Comput. Sci. Eng. 16(3): 153-164 (2022) - Li Li, Zuopai Zhou, Na Bai, Tao Wang, Kanhao Xue, Huajun Sun, Qiang He, Weiming Cheng, Xiangshui Miao:
Naive Bayes classifier based on memristor nonlinear conductance. Microelectron. J. 129: 105574 (2022) - Ngoc Lethikim, Thao Nguyen-Trang, Tai Vovan:
A new image classification method using interval texture feature and improved Bayesian classifier. Multim. Tools Appl. 81(25): 36473-36488 (2022) - Sudhir Kumar Sharma, K. Vijayakumar, Vinod Jagannath Kadam, Sheldon Williamson:
Breast cancer prediction from microRNA profiling using random subspace ensemble of LDA classifiers via Bayesian optimization. Multim. Tools Appl. 81(29): 41785-41805 (2022) - Peter L. Jackson:
Support vector machines as Bayes' classifiers. Oper. Res. Lett. 50(5): 423-429 (2022) - Katarzyna Anna Dylag, Wiktoria Wieczorek, Waldemar Bauer, Piotr Walecki, Bozena Bando, Radek Martinek, Aleksandra Kawala-Sterniuk:
Pilot Study on Analysis of Electroencephalography Signals from Children with FASD with the Implementation of Naive Bayesian Classifiers. Sensors 22(1): 103 (2022) - Keshav Kaushik, Akashdeep Bhardwaj, Susheela Dahiya, Mashael S. Maashi, Moteeb Al Moteri, Mohammed Aljebreen, Salil Bharany:
Multinomial Naive Bayesian Classifier Framework for Systematic Analysis of Smart IoT Devices. Sensors 22(19): 7318 (2022) - Fang-Qi Li, Ruijie Zhao, Shi-Lin Wang, Li-Bo Chen, Alan Wee-Chung Liew, Weiping Ding:
Online Intrusion Detection for Internet of Things Systems With Full Bayesian Possibilistic Clustering and Ensembled Fuzzy Classifiers. IEEE Trans. Fuzzy Syst. 30(11): 4605-4617 (2022) - Ponkrshnan Thiagarajan, Pushkar Khairnar, Susanta Ghosh:
Explanation and Use of Uncertainty Quantified by Bayesian Neural Network Classifiers for Breast Histopathology Images. IEEE Trans. Medical Imaging 41(4): 815-825 (2022) - Jingwei Zhang, Tongliang Liu, Dacheng Tao:
On the Rates of Convergence From Surrogate Risk Minimizers to the Bayes Optimal Classifier. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5766-5774 (2022)